Dataset statistics
| Number of variables | 22 |
|---|---|
| Number of observations | 1000 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 707.0 KiB |
| Average record size in memory | 724.0 B |
Variable types
| Numeric | 8 |
|---|---|
| Categorical | 13 |
| Boolean | 1 |
auto_make is highly overall correlated with auto_model | High correlation |
auto_model is highly overall correlated with auto_make | High correlation |
injury_claim is highly overall correlated with property_claim and 2 other fields | High correlation |
property_claim is highly overall correlated with injury_claim and 2 other fields | High correlation |
total_claim_amount is highly overall correlated with injury_claim and 2 other fields | High correlation |
vehicle_claim is highly overall correlated with injury_claim and 2 other fields | High correlation |
umbrella_limit has 798 (79.8%) zeros | Zeros |
injury_claim has 25 (2.5%) zeros | Zeros |
property_claim has 19 (1.9%) zeros | Zeros |
Reproduction
| Analysis started | 2025-12-29 00:40:17.911425 |
|---|---|
| Analysis finished | 2025-12-29 00:40:23.916552 |
| Duration | 6.01 seconds |
| Software version | ydata-profiling vv4.6.4 |
| Download configuration | config.json |
policy_annual_premium
Real number (ℝ)
| Distinct | 991 |
|---|---|
| Distinct (%) | 99.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1256.4061 |
| Minimum | 433.33 |
|---|---|
| Maximum | 2047.59 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 433.33 |
|---|---|
| 5-th percentile | 855.112 |
| Q1 | 1089.6075 |
| median | 1257.2 |
| Q3 | 1415.695 |
| 95-th percentile | 1653.4435 |
| Maximum | 2047.59 |
| Range | 1614.26 |
| Interquartile range (IQR) | 326.0875 |
Descriptive statistics
| Standard deviation | 244.16739 |
|---|---|
| Coefficient of variation (CV) | 0.19433795 |
| Kurtosis | 0.07388944 |
| Mean | 1256.4061 |
| Median Absolute Deviation (MAD) | 164.26 |
| Skewness | 0.0044019945 |
| Sum | 1256406.1 |
| Variance | 59617.717 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1558.29 | 2 | 0.2% |
| 1215.36 | 2 | 0.2% |
| 1362.87 | 2 | 0.2% |
| 1073.83 | 2 | 0.2% |
| 1389.13 | 2 | 0.2% |
| 1074.07 | 2 | 0.2% |
| 1374.22 | 2 | 0.2% |
| 1524.45 | 2 | 0.2% |
| 1281.25 | 2 | 0.2% |
| 1230.69 | 1 | 0.1% |
| Other values (981) | 981 |
| Value | Count | Frequency (%) |
| 433.33 | 1 | |
| 484.67 | 1 | |
| 538.17 | 1 | |
| 566.11 | 1 | |
| 617.11 | 1 | |
| 625.08 | 1 | |
| 653.66 | 1 | |
| 664.86 | 1 | |
| 671.01 | 1 | |
| 671.92 | 1 |
| Value | Count | Frequency (%) |
| 2047.59 | 1 | |
| 1969.63 | 1 | |
| 1935.85 | 1 | |
| 1927.87 | 1 | |
| 1922.84 | 1 | |
| 1896.91 | 1 | |
| 1878.44 | 1 | |
| 1865.83 | 1 | |
| 1863.04 | 1 | |
| 1861.43 | 1 |
policy_deductable
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 59.4 KiB |
| 1000 | |
|---|---|
| 500 | |
| 2000 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 3.658 |
| Min length | 3 |
Characters and Unicode
| Total characters | 3658 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1000 |
|---|---|
| 2nd row | 2000 |
| 3rd row | 2000 |
| 4th row | 2000 |
| 5th row | 1000 |
Common Values
| Value | Count | Frequency (%) |
| 1000 | 351 | |
| 500 | 342 | |
| 2000 | 307 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1000 | 351 | |
| 500 | 342 | |
| 2000 | 307 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2658 | |
| 1 | 351 | 9.6% |
| 5 | 342 | 9.3% |
| 2 | 307 | 8.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 3658 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2658 | |
| 1 | 351 | 9.6% |
| 5 | 342 | 9.3% |
| 2 | 307 | 8.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3658 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2658 | |
| 1 | 351 | 9.6% |
| 5 | 342 | 9.3% |
| 2 | 307 | 8.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3658 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2658 | |
| 1 | 351 | 9.6% |
| 5 | 342 | 9.3% |
| 2 | 307 | 8.4% |
umbrella_limit
Real number (ℝ)
ZEROS
| Distinct | 11 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1101000 |
| Minimum | -1000000 |
|---|---|
| Maximum | 10000000 |
| Zeros | 798 |
| Zeros (%) | 79.8% |
| Negative | 1 |
| Negative (%) | 0.1% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | -1000000 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 6000000 |
| Maximum | 10000000 |
| Range | 11000000 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 2297406.6 |
|---|---|
| Coefficient of variation (CV) | 2.0866545 |
| Kurtosis | 1.7920773 |
| Mean | 1101000 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.8067122 |
| Sum | 1.101 × 109 |
| Variance | 5.2780771 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 0 | 798 | |
| 6000000 | 57 | 5.7% |
| 5000000 | 46 | 4.6% |
| 4000000 | 39 | 3.9% |
| 7000000 | 29 | 2.9% |
| 3000000 | 12 | 1.2% |
| 8000000 | 8 | 0.8% |
| 9000000 | 5 | 0.5% |
| 2000000 | 3 | 0.3% |
| 10000000 | 2 | 0.2% |
| Value | Count | Frequency (%) |
| -1000000 | 1 | 0.1% |
| 0 | 798 | |
| 2000000 | 3 | 0.3% |
| 3000000 | 12 | 1.2% |
| 4000000 | 39 | 3.9% |
| 5000000 | 46 | 4.6% |
| 6000000 | 57 | 5.7% |
| 7000000 | 29 | 2.9% |
| 8000000 | 8 | 0.8% |
| 9000000 | 5 | 0.5% |
| Value | Count | Frequency (%) |
| 10000000 | 2 | 0.2% |
| 9000000 | 5 | 0.5% |
| 8000000 | 8 | 0.8% |
| 7000000 | 29 | 2.9% |
| 6000000 | 57 | 5.7% |
| 5000000 | 46 | 4.6% |
| 4000000 | 39 | 3.9% |
| 3000000 | 12 | 1.2% |
| 2000000 | 3 | 0.3% |
| 0 | 798 |
insured_age
Real number (ℝ)
| Distinct | 46 |
|---|---|
| Distinct (%) | 4.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 38.948 |
| Minimum | 19 |
|---|---|
| Maximum | 64 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 19 |
|---|---|
| 5-th percentile | 26 |
| Q1 | 32 |
| median | 38 |
| Q3 | 44 |
| 95-th percentile | 57 |
| Maximum | 64 |
| Range | 45 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 9.1402867 |
|---|---|
| Coefficient of variation (CV) | 0.23467923 |
| Kurtosis | -0.26025502 |
| Mean | 38.948 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.47898805 |
| Sum | 38948 |
| Variance | 83.544841 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=46)
| Value | Count | Frequency (%) |
| 43 | 49 | 4.9% |
| 39 | 48 | 4.8% |
| 41 | 45 | 4.5% |
| 34 | 44 | 4.4% |
| 38 | 42 | 4.2% |
| 30 | 42 | 4.2% |
| 31 | 42 | 4.2% |
| 37 | 41 | 4.1% |
| 33 | 39 | 3.9% |
| 40 | 38 | 3.8% |
| Other values (36) | 570 |
| Value | Count | Frequency (%) |
| 19 | 1 | 0.1% |
| 20 | 1 | 0.1% |
| 21 | 6 | 0.6% |
| 22 | 1 | 0.1% |
| 23 | 7 | 0.7% |
| 24 | 10 | 1.0% |
| 25 | 14 | |
| 26 | 26 | |
| 27 | 24 | |
| 28 | 30 |
| Value | Count | Frequency (%) |
| 64 | 2 | 0.2% |
| 63 | 2 | 0.2% |
| 62 | 4 | 0.4% |
| 61 | 10 | |
| 60 | 9 | |
| 59 | 5 | 0.5% |
| 58 | 8 | |
| 57 | 16 | |
| 56 | 8 | |
| 55 | 14 |
insured_sex
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 60.7 KiB |
| FEMALE | |
|---|---|
| MALE |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.074 |
| Min length | 4 |
Characters and Unicode
| Total characters | 5074 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | MALE |
|---|---|
| 2nd row | MALE |
| 3rd row | FEMALE |
| 4th row | FEMALE |
| 5th row | MALE |
Common Values
| Value | Count | Frequency (%) |
| FEMALE | 537 | |
| MALE | 463 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| female | 537 | |
| male | 463 |
Most occurring characters
| Value | Count | Frequency (%) |
| E | 1537 | |
| M | 1000 | |
| A | 1000 | |
| L | 1000 | |
| F | 537 | 10.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 5074 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| E | 1537 | |
| M | 1000 | |
| A | 1000 | |
| L | 1000 | |
| F | 537 | 10.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 5074 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| E | 1537 | |
| M | 1000 | |
| A | 1000 | |
| L | 1000 | |
| F | 537 | 10.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 5074 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| E | 1537 | |
| M | 1000 | |
| A | 1000 | |
| L | 1000 | |
| F | 537 | 10.6% |
insured_education_level
Categorical
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 61.6 KiB |
| JD | |
|---|---|
| High School | |
| Associate | |
| MD | |
| Masters | |
| Other values (2) |
Length
| Max length | 11 |
|---|---|
| Median length | 9 |
| Mean length | 5.905 |
| Min length | 2 |
Characters and Unicode
| Total characters | 5905 |
|---|---|
| Distinct characters | 20 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | MD |
|---|---|
| 2nd row | MD |
| 3rd row | PhD |
| 4th row | PhD |
| 5th row | Associate |
Common Values
| Value | Count | Frequency (%) |
| JD | 161 | |
| High School | 160 | |
| Associate | 145 | |
| MD | 144 | |
| Masters | 143 | |
| PhD | 125 | |
| College | 122 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| jd | 161 | |
| high | 160 | |
| school | 160 | |
| associate | 145 | |
| md | 144 | |
| masters | 143 | |
| phd | 125 | |
| college | 122 |
Most occurring characters
| Value | Count | Frequency (%) |
| o | 587 | 9.9% |
| s | 576 | 9.8% |
| e | 532 | 9.0% |
| h | 445 | 7.5% |
| D | 430 | 7.3% |
| l | 404 | 6.8% |
| i | 305 | 5.2% |
| c | 305 | 5.2% |
| t | 288 | 4.9% |
| a | 288 | 4.9% |
| Other values (10) | 1745 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 4155 | |
| Uppercase Letter | 1590 | 26.9% |
| Space Separator | 160 | 2.7% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| o | 587 | |
| s | 576 | |
| e | 532 | |
| h | 445 | |
| l | 404 | |
| i | 305 | |
| c | 305 | |
| t | 288 | |
| a | 288 | |
| g | 282 |
Uppercase Letter
| Value | Count | Frequency (%) |
| D | 430 | |
| M | 287 | |
| J | 161 | 10.1% |
| S | 160 | 10.1% |
| H | 160 | 10.1% |
| A | 145 | 9.1% |
| P | 125 | 7.9% |
| C | 122 | 7.7% |
Space Separator
| Value | Count | Frequency (%) |
| 160 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 5745 | |
| Common | 160 | 2.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| o | 587 | 10.2% |
| s | 576 | 10.0% |
| e | 532 | 9.3% |
| h | 445 | 7.7% |
| D | 430 | 7.5% |
| l | 404 | 7.0% |
| i | 305 | 5.3% |
| c | 305 | 5.3% |
| t | 288 | 5.0% |
| a | 288 | 5.0% |
| Other values (9) | 1585 |
Common
| Value | Count | Frequency (%) |
| 160 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 5905 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| o | 587 | 9.9% |
| s | 576 | 9.8% |
| e | 532 | 9.0% |
| h | 445 | 7.5% |
| D | 430 | 7.3% |
| l | 404 | 6.8% |
| i | 305 | 5.2% |
| c | 305 | 5.2% |
| t | 288 | 4.9% |
| a | 288 | 4.9% |
| Other values (10) | 1745 |
insured_occupation
Categorical
| Distinct | 14 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 69.0 KiB |
| machine-op-inspct | |
|---|---|
| prof-specialty | |
| tech-support | |
| sales | |
| exec-managerial | |
| Other values (9) |
Length
| Max length | 17 |
|---|---|
| Median length | 16 |
| Mean length | 13.521 |
| Min length | 5 |
Characters and Unicode
| Total characters | 13521 |
|---|---|
| Distinct characters | 21 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | craft-repair |
|---|---|
| 2nd row | machine-op-inspct |
| 3rd row | sales |
| 4th row | armed-forces |
| 5th row | sales |
Common Values
| Value | Count | Frequency (%) |
| machine-op-inspct | 93 | 9.3% |
| prof-specialty | 85 | 8.5% |
| tech-support | 78 | 7.8% |
| sales | 76 | 7.6% |
| exec-managerial | 76 | 7.6% |
| craft-repair | 74 | 7.4% |
| transport-moving | 72 | 7.2% |
| other-service | 71 | 7.1% |
| priv-house-serv | 71 | 7.1% |
| armed-forces | 69 | 6.9% |
| Other values (4) | 235 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| machine-op-inspct | 93 | 9.3% |
| prof-specialty | 85 | 8.5% |
| tech-support | 78 | 7.8% |
| sales | 76 | 7.6% |
| exec-managerial | 76 | 7.6% |
| craft-repair | 74 | 7.4% |
| transport-moving | 72 | 7.2% |
| other-service | 71 | 7.1% |
| priv-house-serv | 71 | 7.1% |
| armed-forces | 69 | 6.9% |
| Other values (4) | 235 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 1543 | |
| r | 1379 | |
| - | 1088 | 8.0% |
| a | 1062 | 7.9% |
| s | 986 | 7.3% |
| i | 922 | 6.8% |
| c | 886 | 6.6% |
| p | 792 | 5.9% |
| t | 749 | 5.5% |
| o | 674 | 5.0% |
| Other values (11) | 3440 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 12433 | |
| Dash Punctuation | 1088 | 8.0% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 1543 | |
| r | 1379 | |
| a | 1062 | 8.5% |
| s | 986 | 7.9% |
| i | 922 | 7.4% |
| c | 886 | 7.1% |
| p | 792 | 6.4% |
| t | 749 | 6.0% |
| o | 674 | 5.4% |
| n | 620 | 5.0% |
| Other values (10) | 2820 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 1088 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 12433 | |
| Common | 1088 | 8.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 1543 | |
| r | 1379 | |
| a | 1062 | 8.5% |
| s | 986 | 7.9% |
| i | 922 | 7.4% |
| c | 886 | 7.1% |
| p | 792 | 6.4% |
| t | 749 | 6.0% |
| o | 674 | 5.4% |
| n | 620 | 5.0% |
| Other values (10) | 2820 |
Common
| Value | Count | Frequency (%) |
| - | 1088 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13521 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 1543 | |
| r | 1379 | |
| - | 1088 | 8.0% |
| a | 1062 | 7.9% |
| s | 986 | 7.3% |
| i | 922 | 6.8% |
| c | 886 | 6.6% |
| p | 792 | 5.9% |
| t | 749 | 5.5% |
| o | 674 | 5.0% |
| Other values (11) | 3440 |
insured_relationship
Categorical
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 65.0 KiB |
| own-child | |
|---|---|
| other-relative | |
| not-in-family | |
| husband | |
| wife |
Length
| Max length | 14 |
|---|---|
| Median length | 13 |
| Mean length | 9.466 |
| Min length | 4 |
Characters and Unicode
| Total characters | 9466 |
|---|---|
| Distinct characters | 20 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | husband |
|---|---|
| 2nd row | other-relative |
| 3rd row | own-child |
| 4th row | unmarried |
| 5th row | unmarried |
Common Values
| Value | Count | Frequency (%) |
| own-child | 183 | |
| other-relative | 177 | |
| not-in-family | 174 | |
| husband | 170 | |
| wife | 155 | |
| unmarried | 141 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| own-child | 183 | |
| other-relative | 177 | |
| not-in-family | 174 | |
| husband | 170 | |
| wife | 155 | |
| unmarried | 141 |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 1004 | 10.6% |
| n | 842 | 8.9% |
| e | 827 | 8.7% |
| - | 708 | 7.5% |
| a | 662 | 7.0% |
| r | 636 | 6.7% |
| l | 534 | 5.6% |
| o | 534 | 5.6% |
| h | 530 | 5.6% |
| t | 528 | 5.6% |
| Other values (10) | 2661 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 8758 | |
| Dash Punctuation | 708 | 7.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 1004 | |
| n | 842 | 9.6% |
| e | 827 | 9.4% |
| a | 662 | 7.6% |
| r | 636 | 7.3% |
| l | 534 | 6.1% |
| o | 534 | 6.1% |
| h | 530 | 6.1% |
| t | 528 | 6.0% |
| d | 494 | 5.6% |
| Other values (9) | 2167 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 708 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 8758 | |
| Common | 708 | 7.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 1004 | |
| n | 842 | 9.6% |
| e | 827 | 9.4% |
| a | 662 | 7.6% |
| r | 636 | 7.3% |
| l | 534 | 6.1% |
| o | 534 | 6.1% |
| h | 530 | 6.1% |
| t | 528 | 6.0% |
| d | 494 | 5.6% |
| Other values (9) | 2167 |
Common
| Value | Count | Frequency (%) |
| - | 708 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9466 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| i | 1004 | 10.6% |
| n | 842 | 8.9% |
| e | 827 | 8.7% |
| - | 708 | 7.5% |
| a | 662 | 7.0% |
| r | 636 | 6.7% |
| l | 534 | 5.6% |
| o | 534 | 5.6% |
| h | 530 | 5.6% |
| t | 528 | 5.6% |
| Other values (10) | 2661 |
insured_hobbies
Categorical
| Distinct | 20 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 63.7 KiB |
| reading | 64 |
|---|---|
| exercise | 57 |
| paintball | 57 |
| bungie-jumping | 56 |
| movies | 55 |
| Other values (15) |
Length
| Max length | 14 |
|---|---|
| Median length | 11 |
| Mean length | 8.113 |
| Min length | 4 |
Characters and Unicode
| Total characters | 8113 |
|---|---|
| Distinct characters | 24 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | sleeping |
|---|---|
| 2nd row | reading |
| 3rd row | board-games |
| 4th row | board-games |
| 5th row | board-games |
Common Values
| Value | Count | Frequency (%) |
| reading | 64 | 6.4% |
| exercise | 57 | 5.7% |
| paintball | 57 | 5.7% |
| bungie-jumping | 56 | 5.6% |
| movies | 55 | 5.5% |
| golf | 55 | 5.5% |
| camping | 55 | 5.5% |
| kayaking | 54 | 5.4% |
| yachting | 53 | 5.3% |
| hiking | 52 | 5.2% |
| Other values (10) | 442 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| reading | 64 | 6.4% |
| exercise | 57 | 5.7% |
| paintball | 57 | 5.7% |
| bungie-jumping | 56 | 5.6% |
| movies | 55 | 5.5% |
| golf | 55 | 5.5% |
| camping | 55 | 5.5% |
| kayaking | 54 | 5.4% |
| yachting | 53 | 5.3% |
| hiking | 52 | 5.2% |
| Other values (10) | 442 |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 927 | 11.4% |
| g | 725 | 8.9% |
| e | 705 | 8.7% |
| a | 700 | 8.6% |
| n | 672 | 8.3% |
| s | 545 | 6.7% |
| o | 337 | 4.2% |
| l | 325 | 4.0% |
| m | 313 | 3.9% |
| p | 305 | 3.8% |
| Other values (14) | 2559 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 7875 | |
| Dash Punctuation | 238 | 2.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 927 | 11.8% |
| g | 725 | 9.2% |
| e | 705 | 9.0% |
| a | 700 | 8.9% |
| n | 672 | 8.5% |
| s | 545 | 6.9% |
| o | 337 | 4.3% |
| l | 325 | 4.1% |
| m | 313 | 4.0% |
| p | 305 | 3.9% |
| Other values (13) | 2321 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 238 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 7875 | |
| Common | 238 | 2.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 927 | 11.8% |
| g | 725 | 9.2% |
| e | 705 | 9.0% |
| a | 700 | 8.9% |
| n | 672 | 8.5% |
| s | 545 | 6.9% |
| o | 337 | 4.3% |
| l | 325 | 4.1% |
| m | 313 | 4.0% |
| p | 305 | 3.9% |
| Other values (13) | 2321 |
Common
| Value | Count | Frequency (%) |
| - | 238 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 8113 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| i | 927 | 11.4% |
| g | 725 | 8.9% |
| e | 705 | 8.7% |
| a | 700 | 8.6% |
| n | 672 | 8.3% |
| s | 545 | 6.7% |
| o | 337 | 4.2% |
| l | 325 | 4.0% |
| m | 313 | 3.9% |
| p | 305 | 3.8% |
| Other values (14) | 2559 |
auto_make
Categorical
HIGH CORRELATION
| Distinct | 14 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 61.4 KiB |
| Saab | |
|---|---|
| Dodge | |
| Suburu | |
| Nissan | |
| Chevrolet | |
| Other values (9) |
Length
| Max length | 10 |
|---|---|
| Median length | 9 |
| Mean length | 5.703 |
| Min length | 3 |
Characters and Unicode
| Total characters | 5703 |
|---|---|
| Distinct characters | 33 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Saab |
|---|---|
| 2nd row | Mercedes |
| 3rd row | Dodge |
| 4th row | Chevrolet |
| 5th row | Accura |
Common Values
| Value | Count | Frequency (%) |
| Saab | 80 | 8.0% |
| Dodge | 80 | 8.0% |
| Suburu | 80 | 8.0% |
| Nissan | 78 | 7.8% |
| Chevrolet | 76 | 7.6% |
| Ford | 72 | 7.2% |
| BMW | 72 | 7.2% |
| Toyota | 70 | 7.0% |
| Audi | 69 | 6.9% |
| Accura | 68 | 6.8% |
| Other values (4) | 255 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| saab | 80 | 8.0% |
| dodge | 80 | 8.0% |
| suburu | 80 | 8.0% |
| nissan | 78 | 7.8% |
| chevrolet | 76 | 7.6% |
| ford | 72 | 7.2% |
| bmw | 72 | 7.2% |
| toyota | 70 | 7.0% |
| audi | 69 | 6.9% |
| accura | 68 | 6.8% |
| Other values (4) | 255 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 629 | 11.0% |
| a | 499 | 8.7% |
| o | 491 | 8.6% |
| u | 377 | 6.6% |
| r | 361 | 6.3% |
| d | 341 | 6.0% |
| s | 289 | 5.1% |
| c | 201 | 3.5% |
| n | 201 | 3.5% |
| S | 160 | 2.8% |
| Other values (23) | 2154 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 4559 | |
| Uppercase Letter | 1144 | 20.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 629 | |
| a | 499 | |
| o | 491 | |
| u | 377 | 8.3% |
| r | 361 | 7.9% |
| d | 341 | 7.5% |
| s | 289 | 6.3% |
| c | 201 | 4.4% |
| n | 201 | 4.4% |
| b | 160 | 3.5% |
| Other values (10) | 1010 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 160 | |
| M | 137 | |
| A | 137 | |
| D | 80 | |
| N | 78 | |
| C | 76 | 6.6% |
| B | 72 | 6.3% |
| F | 72 | 6.3% |
| W | 72 | 6.3% |
| T | 70 | 6.1% |
| Other values (3) | 190 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 5703 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 629 | 11.0% |
| a | 499 | 8.7% |
| o | 491 | 8.6% |
| u | 377 | 6.6% |
| r | 361 | 6.3% |
| d | 341 | 6.0% |
| s | 289 | 5.1% |
| c | 201 | 3.5% |
| n | 201 | 3.5% |
| S | 160 | 2.8% |
| Other values (23) | 2154 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 5703 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 629 | 11.0% |
| a | 499 | 8.7% |
| o | 491 | 8.6% |
| u | 377 | 6.6% |
| r | 361 | 6.3% |
| d | 341 | 6.0% |
| s | 289 | 5.1% |
| c | 201 | 3.5% |
| n | 201 | 3.5% |
| S | 160 | 2.8% |
| Other values (23) | 2154 |
auto_model
Categorical
HIGH CORRELATION
| Distinct | 39 |
|---|---|
| Distinct (%) | 3.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 60.8 KiB |
| RAM | 43 |
|---|---|
| Wrangler | 42 |
| A3 | 37 |
| Neon | 37 |
| MDX | 36 |
| Other values (34) |
Length
| Max length | 14 |
|---|---|
| Median length | 9 |
| Mean length | 5.178 |
| Min length | 2 |
Characters and Unicode
| Total characters | 5178 |
|---|---|
| Distinct characters | 52 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 92x |
|---|---|
| 2nd row | E400 |
| 3rd row | RAM |
| 4th row | Tahoe |
| 5th row | RSX |
Common Values
| Value | Count | Frequency (%) |
| RAM | 43 | 4.3% |
| Wrangler | 42 | 4.2% |
| A3 | 37 | 3.7% |
| Neon | 37 | 3.7% |
| MDX | 36 | 3.6% |
| Jetta | 35 | 3.5% |
| Passat | 33 | 3.3% |
| A5 | 32 | 3.2% |
| Legacy | 32 | 3.2% |
| Pathfinder | 31 | 3.1% |
| Other values (29) | 642 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| ram | 43 | 4.1% |
| wrangler | 42 | 4.0% |
| a3 | 37 | 3.5% |
| neon | 37 | 3.5% |
| mdx | 36 | 3.5% |
| jetta | 35 | 3.4% |
| passat | 33 | 3.2% |
| a5 | 32 | 3.1% |
| legacy | 32 | 3.1% |
| pathfinder | 31 | 3.0% |
| Other values (31) | 685 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 492 | 9.5% |
| e | 428 | 8.3% |
| r | 392 | 7.6% |
| o | 238 | 4.6% |
| i | 235 | 4.5% |
| t | 185 | 3.6% |
| l | 179 | 3.5% |
| n | 178 | 3.4% |
| M | 168 | 3.2% |
| s | 157 | 3.0% |
| Other values (42) | 2526 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 3351 | |
| Uppercase Letter | 1207 | 23.3% |
| Decimal Number | 577 | 11.1% |
| Space Separator | 43 | 0.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 492 | |
| e | 428 | |
| r | 392 | |
| o | 238 | 7.1% |
| i | 235 | 7.0% |
| t | 185 | 5.5% |
| l | 179 | 5.3% |
| n | 178 | 5.3% |
| s | 157 | 4.7% |
| d | 113 | 3.4% |
| Other values (13) | 754 |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 168 | |
| C | 133 | |
| A | 125 | |
| X | 87 | 7.2% |
| F | 76 | 6.3% |
| R | 75 | 6.2% |
| L | 72 | 6.0% |
| P | 64 | 5.3% |
| S | 52 | 4.3% |
| E | 51 | 4.2% |
| Other values (10) | 304 |
Decimal Number
| Value | Count | Frequency (%) |
| 5 | 144 | |
| 0 | 137 | |
| 3 | 118 | |
| 9 | 80 | |
| 2 | 28 | 4.9% |
| 4 | 27 | 4.7% |
| 1 | 27 | 4.7% |
| 6 | 16 | 2.8% |
Space Separator
| Value | Count | Frequency (%) |
| 43 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4558 | |
| Common | 620 | 12.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 492 | 10.8% |
| e | 428 | 9.4% |
| r | 392 | 8.6% |
| o | 238 | 5.2% |
| i | 235 | 5.2% |
| t | 185 | 4.1% |
| l | 179 | 3.9% |
| n | 178 | 3.9% |
| M | 168 | 3.7% |
| s | 157 | 3.4% |
| Other values (33) | 1906 |
Common
| Value | Count | Frequency (%) |
| 5 | 144 | |
| 0 | 137 | |
| 3 | 118 | |
| 9 | 80 | |
| 43 | 6.9% | |
| 2 | 28 | 4.5% |
| 4 | 27 | 4.4% |
| 1 | 27 | 4.4% |
| 6 | 16 | 2.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 5178 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 492 | 9.5% |
| e | 428 | 8.3% |
| r | 392 | 7.6% |
| o | 238 | 4.6% |
| i | 235 | 4.5% |
| t | 185 | 3.6% |
| l | 179 | 3.5% |
| n | 178 | 3.4% |
| M | 168 | 3.2% |
| s | 157 | 3.0% |
| Other values (42) | 2526 |
auto_year
Real number (ℝ)
| Distinct | 21 |
|---|---|
| Distinct (%) | 2.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2005.103 |
| Minimum | 1995 |
|---|---|
| Maximum | 2015 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 1995 |
|---|---|
| 5-th percentile | 1995 |
| Q1 | 2000 |
| median | 2005 |
| Q3 | 2010 |
| 95-th percentile | 2014 |
| Maximum | 2015 |
| Range | 20 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 6.0158608 |
|---|---|
| Coefficient of variation (CV) | 0.0030002752 |
| Kurtosis | -1.1718678 |
| Mean | 2005.103 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | -0.048288807 |
| Sum | 2005103 |
| Variance | 36.190582 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 1995 | 56 | 5.6% |
| 1999 | 55 | 5.5% |
| 2005 | 54 | 5.4% |
| 2006 | 53 | 5.3% |
| 2011 | 53 | 5.3% |
| 2007 | 52 | 5.2% |
| 2003 | 51 | 5.1% |
| 2009 | 50 | 5.0% |
| 2010 | 50 | 5.0% |
| 2013 | 49 | 4.9% |
| Other values (11) | 477 |
| Value | Count | Frequency (%) |
| 1995 | 56 | |
| 1996 | 37 | |
| 1997 | 46 | |
| 1998 | 40 | |
| 1999 | 55 | |
| 2000 | 42 | |
| 2001 | 42 | |
| 2002 | 49 | |
| 2003 | 51 | |
| 2004 | 39 |
| Value | Count | Frequency (%) |
| 2015 | 47 | |
| 2014 | 44 | |
| 2013 | 49 | |
| 2012 | 46 | |
| 2011 | 53 | |
| 2010 | 50 | |
| 2009 | 50 | |
| 2008 | 45 | |
| 2007 | 52 | |
| 2006 | 53 |
number_of_vehicles_involved
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 56.8 KiB |
| 1 | |
|---|---|
| 3 | |
| 4 | 31 |
| 2 | 30 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1000 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 3 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 581 | |
| 3 | 358 | |
| 4 | 31 | 3.1% |
| 2 | 30 | 3.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 581 | |
| 3 | 358 | |
| 4 | 31 | 3.1% |
| 2 | 30 | 3.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 581 | |
| 3 | 358 | |
| 4 | 31 | 3.1% |
| 2 | 30 | 3.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 581 | |
| 3 | 358 | |
| 4 | 31 | 3.1% |
| 2 | 30 | 3.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 581 | |
| 3 | 358 | |
| 4 | 31 | 3.1% |
| 2 | 30 | 3.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 581 | |
| 3 | 358 | |
| 4 | 31 | 3.1% |
| 2 | 30 | 3.0% |
bodily_injuries
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 56.8 KiB |
| 0 | |
|---|---|
| 2 | |
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1000 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 2 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 340 | |
| 2 | 332 | |
| 1 | 328 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 340 | |
| 2 | 332 | |
| 1 | 328 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 340 | |
| 2 | 332 | |
| 1 | 328 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 340 | |
| 2 | 332 | |
| 1 | 328 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 340 | |
| 2 | 332 | |
| 1 | 328 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 340 | |
| 2 | 332 | |
| 1 | 328 |
witnesses
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 56.8 KiB |
| 1 | |
|---|---|
| 2 | |
| 0 | |
| 3 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1000 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 0 |
| 3rd row | 3 |
| 4th row | 2 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 258 | |
| 2 | 250 | |
| 0 | 249 | |
| 3 | 243 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 258 | |
| 2 | 250 | |
| 0 | 249 | |
| 3 | 243 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 258 | |
| 2 | 250 | |
| 0 | 249 | |
| 3 | 243 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 258 | |
| 2 | 250 | |
| 0 | 249 | |
| 3 | 243 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 258 | |
| 2 | 250 | |
| 0 | 249 | |
| 3 | 243 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 258 | |
| 2 | 250 | |
| 0 | 249 | |
| 3 | 243 |
property_damage
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 57.7 KiB |
| ? | |
|---|---|
| NO | |
| YES |
Length
| Max length | 3 |
|---|---|
| Median length | 2 |
| Mean length | 1.942 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1942 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | YES |
|---|---|
| 2nd row | ? |
| 3rd row | NO |
| 4th row | ? |
| 5th row | NO |
Common Values
| Value | Count | Frequency (%) |
| ? | 360 | |
| NO | 338 | |
| YES | 302 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 360 | ||
| no | 338 | |
| yes | 302 |
Most occurring characters
| Value | Count | Frequency (%) |
| ? | 360 | |
| N | 338 | |
| O | 338 | |
| Y | 302 | |
| E | 302 | |
| S | 302 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 1582 | |
| Other Punctuation | 360 | 18.5% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| N | 338 | |
| O | 338 | |
| Y | 302 | |
| E | 302 | |
| S | 302 |
Other Punctuation
| Value | Count | Frequency (%) |
| ? | 360 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1582 | |
| Common | 360 | 18.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| N | 338 | |
| O | 338 | |
| Y | 302 | |
| E | 302 | |
| S | 302 |
Common
| Value | Count | Frequency (%) |
| ? | 360 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1942 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| ? | 360 | |
| N | 338 | |
| O | 338 | |
| Y | 302 | |
| E | 302 | |
| S | 302 |
police_report_available
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 57.7 KiB |
| ? | |
|---|---|
| NO | |
| YES |
Length
| Max length | 3 |
|---|---|
| Median length | 2 |
| Mean length | 1.971 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1971 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | YES |
|---|---|
| 2nd row | ? |
| 3rd row | NO |
| 4th row | NO |
| 5th row | NO |
Common Values
| Value | Count | Frequency (%) |
| ? | 343 | |
| NO | 343 | |
| YES | 314 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 343 | ||
| no | 343 | |
| yes | 314 |
Most occurring characters
| Value | Count | Frequency (%) |
| ? | 343 | |
| N | 343 | |
| O | 343 | |
| Y | 314 | |
| E | 314 | |
| S | 314 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 1628 | |
| Other Punctuation | 343 | 17.4% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| N | 343 | |
| O | 343 | |
| Y | 314 | |
| E | 314 | |
| S | 314 |
Other Punctuation
| Value | Count | Frequency (%) |
| ? | 343 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1628 | |
| Common | 343 | 17.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| N | 343 | |
| O | 343 | |
| Y | 314 | |
| E | 314 | |
| S | 314 |
Common
| Value | Count | Frequency (%) |
| ? | 343 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1971 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| ? | 343 | |
| N | 343 | |
| O | 343 | |
| Y | 314 | |
| E | 314 | |
| S | 314 |
fraud_reported
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 753 | |
| True | 247 | 24.7% |
total_claim_amount
Real number (ℝ)
HIGH CORRELATION
| Distinct | 763 |
|---|---|
| Distinct (%) | 76.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 52761.94 |
| Minimum | 100 |
|---|---|
| Maximum | 114920 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 100 |
|---|---|
| 5-th percentile | 4320 |
| Q1 | 41812.5 |
| median | 58055 |
| Q3 | 70592.5 |
| 95-th percentile | 88413 |
| Maximum | 114920 |
| Range | 114820 |
| Interquartile range (IQR) | 28780 |
Descriptive statistics
| Standard deviation | 26401.533 |
|---|---|
| Coefficient of variation (CV) | 0.50038974 |
| Kurtosis | -0.45408143 |
| Mean | 52761.94 |
| Median Absolute Deviation (MAD) | 13855 |
| Skewness | -0.59458199 |
| Sum | 52761940 |
| Variance | 6.9704095 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 59400 | 5 | 0.5% |
| 2640 | 4 | 0.4% |
| 70400 | 4 | 0.4% |
| 4320 | 4 | 0.4% |
| 44200 | 4 | 0.4% |
| 75400 | 4 | 0.4% |
| 60600 | 4 | 0.4% |
| 3190 | 4 | 0.4% |
| 58500 | 4 | 0.4% |
| 70290 | 4 | 0.4% |
| Other values (753) | 959 |
| Value | Count | Frequency (%) |
| 100 | 1 | 0.1% |
| 1920 | 1 | 0.1% |
| 2160 | 1 | 0.1% |
| 2250 | 1 | 0.1% |
| 2400 | 1 | 0.1% |
| 2520 | 1 | 0.1% |
| 2640 | 4 | |
| 2700 | 2 | |
| 2800 | 1 | 0.1% |
| 2860 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 114920 | 1 | |
| 112320 | 1 | |
| 108480 | 1 | |
| 108030 | 1 | |
| 107900 | 1 | |
| 105820 | 1 | |
| 105040 | 1 | |
| 104610 | 1 | |
| 103560 | 1 | |
| 101860 | 1 |
injury_claim
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 638 |
|---|---|
| Distinct (%) | 63.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7433.42 |
| Minimum | 0 |
|---|---|
| Maximum | 21450 |
| Zeros | 25 |
| Zeros (%) | 2.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 450 |
| Q1 | 4295 |
| median | 6775 |
| Q3 | 11305 |
| 95-th percentile | 15662 |
| Maximum | 21450 |
| Range | 21450 |
| Interquartile range (IQR) | 7010 |
Descriptive statistics
| Standard deviation | 4880.9519 |
|---|---|
| Coefficient of variation (CV) | 0.65662264 |
| Kurtosis | -0.76308706 |
| Mean | 7433.42 |
| Median Absolute Deviation (MAD) | 3705 |
| Skewness | 0.26481088 |
| Sum | 7433420 |
| Variance | 23823691 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 25 | 2.5% |
| 640 | 7 | 0.7% |
| 480 | 7 | 0.7% |
| 660 | 5 | 0.5% |
| 580 | 5 | 0.5% |
| 13520 | 5 | 0.5% |
| 1180 | 5 | 0.5% |
| 860 | 5 | 0.5% |
| 6340 | 5 | 0.5% |
| 780 | 5 | 0.5% |
| Other values (628) | 926 |
| Value | Count | Frequency (%) |
| 0 | 25 | |
| 10 | 1 | 0.1% |
| 220 | 1 | 0.1% |
| 250 | 1 | 0.1% |
| 280 | 2 | 0.2% |
| 290 | 1 | 0.1% |
| 300 | 3 | 0.3% |
| 330 | 2 | 0.2% |
| 350 | 1 | 0.1% |
| 360 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 21450 | 1 | |
| 21330 | 1 | |
| 20700 | 1 | |
| 19020 | 1 | |
| 18520 | 1 | |
| 18220 | 1 | |
| 18180 | 1 | |
| 18080 | 1 | |
| 18000 | 1 | |
| 17880 | 1 |
property_claim
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 626 |
|---|---|
| Distinct (%) | 62.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7399.57 |
| Minimum | 0 |
|---|---|
| Maximum | 23670 |
| Zeros | 19 |
| Zeros (%) | 1.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 450 |
| Q1 | 4445 |
| median | 6750 |
| Q3 | 10885 |
| 95-th percentile | 15540 |
| Maximum | 23670 |
| Range | 23670 |
| Interquartile range (IQR) | 6440 |
Descriptive statistics
| Standard deviation | 4824.7262 |
|---|---|
| Coefficient of variation (CV) | 0.65202791 |
| Kurtosis | -0.37638631 |
| Mean | 7399.57 |
| Median Absolute Deviation (MAD) | 3290 |
| Skewness | 0.37816878 |
| Sum | 7399570 |
| Variance | 23277983 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 19 | 1.9% |
| 860 | 6 | 0.6% |
| 480 | 5 | 0.5% |
| 660 | 5 | 0.5% |
| 10000 | 5 | 0.5% |
| 640 | 5 | 0.5% |
| 650 | 5 | 0.5% |
| 11080 | 5 | 0.5% |
| 840 | 4 | 0.4% |
| 5310 | 4 | 0.4% |
| Other values (616) | 937 |
| Value | Count | Frequency (%) |
| 0 | 19 | |
| 20 | 1 | 0.1% |
| 240 | 1 | 0.1% |
| 250 | 1 | 0.1% |
| 260 | 1 | 0.1% |
| 280 | 3 | 0.3% |
| 290 | 2 | 0.2% |
| 300 | 3 | 0.3% |
| 320 | 3 | 0.3% |
| 330 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 23670 | 1 | |
| 21810 | 1 | |
| 21630 | 1 | |
| 21580 | 1 | |
| 21240 | 1 | |
| 20550 | 1 | |
| 20310 | 1 | |
| 20280 | 1 | |
| 19950 | 1 | |
| 19650 | 1 |
vehicle_claim
Real number (ℝ)
HIGH CORRELATION
| Distinct | 726 |
|---|---|
| Distinct (%) | 72.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 37928.95 |
| Minimum | 70 |
|---|---|
| Maximum | 79560 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.9 KiB |
Quantile statistics
| Minimum | 70 |
|---|---|
| 5-th percentile | 3273.5 |
| Q1 | 30292.5 |
| median | 42100 |
| Q3 | 50822.5 |
| 95-th percentile | 63094.5 |
| Maximum | 79560 |
| Range | 79490 |
| Interquartile range (IQR) | 20530 |
Descriptive statistics
| Standard deviation | 18886.253 |
|---|---|
| Coefficient of variation (CV) | 0.49793767 |
| Kurtosis | -0.44657292 |
| Mean | 37928.95 |
| Median Absolute Deviation (MAD) | 9840 |
| Skewness | -0.62109793 |
| Sum | 37928950 |
| Variance | 3.5669055 × 108 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5040 | 7 | 0.7% |
| 3360 | 6 | 0.6% |
| 52080 | 5 | 0.5% |
| 4720 | 5 | 0.5% |
| 3600 | 5 | 0.5% |
| 44800 | 5 | 0.5% |
| 33600 | 5 | 0.5% |
| 42720 | 4 | 0.4% |
| 41580 | 4 | 0.4% |
| 35000 | 4 | 0.4% |
| Other values (716) | 950 |
| Value | Count | Frequency (%) |
| 70 | 1 | |
| 1440 | 2 | |
| 1680 | 2 | |
| 1750 | 1 | |
| 1760 | 1 | |
| 1800 | 1 | |
| 1960 | 2 | |
| 1980 | 1 | |
| 2030 | 1 | |
| 2080 | 1 |
| Value | Count | Frequency (%) |
| 79560 | 1 | |
| 77760 | 1 | |
| 77670 | 2 | |
| 76400 | 1 | |
| 76000 | 1 | |
| 75600 | 1 | |
| 75530 | 1 | |
| 74790 | 1 | |
| 73620 | 1 | |
| 73260 | 1 |
| auto_make | auto_model | auto_year | bodily_injuries | fraud_reported | injury_claim | insured_age | insured_education_level | insured_hobbies | insured_occupation | insured_relationship | insured_sex | number_of_vehicles_involved | police_report_available | policy_annual_premium | policy_deductable | property_claim | property_damage | total_claim_amount | umbrella_limit | vehicle_claim | witnesses | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| auto_make | 1.000 | 0.987 | 0.005 | 0.000 | 0.028 | -0.038 | 0.016 | 0.038 | 0.047 | 0.000 | 0.012 | 0.000 | 0.041 | 0.000 | 0.008 | 0.000 | -0.043 | 0.000 | -0.063 | 0.006 | -0.066 | 0.000 |
| auto_model | 0.987 | 1.000 | 0.032 | 0.000 | 0.093 | 0.045 | 0.012 | 0.028 | 0.051 | 0.037 | 0.023 | 0.000 | 0.087 | 0.035 | -0.030 | 0.000 | 0.061 | 0.000 | 0.042 | 0.031 | 0.030 | 0.000 |
| auto_year | 0.005 | 0.032 | 1.000 | 0.044 | 0.000 | -0.019 | 0.006 | 0.000 | 0.000 | 0.038 | 0.060 | 0.044 | 0.033 | 0.047 | -0.030 | 0.000 | -0.008 | 0.000 | -0.033 | 0.012 | -0.041 | 0.018 |
| bodily_injuries | 0.000 | 0.000 | 0.044 | 1.000 | 0.000 | 0.048 | -0.019 | 0.009 | 0.000 | 0.094 | 0.000 | 0.000 | 0.000 | 0.000 | 0.021 | 0.018 | 0.033 | 0.017 | 0.059 | 0.042 | 0.058 | 0.017 |
| fraud_reported | 0.028 | 0.093 | 0.000 | 0.000 | 1.000 | 0.088 | 0.004 | 0.000 | 0.379 | 0.068 | 0.020 | 0.000 | 0.030 | 0.000 | -0.015 | 0.000 | 0.134 | 0.078 | 0.139 | 0.060 | 0.143 | 0.056 |
| injury_claim | -0.038 | 0.045 | -0.019 | 0.048 | 0.088 | 1.000 | 0.074 | 0.000 | 0.037 | 0.033 | 0.042 | 0.000 | 0.201 | 0.033 | -0.019 | 0.053 | 0.569 | 0.000 | 0.792 | -0.047 | 0.684 | 0.000 |
| insured_age | 0.016 | 0.012 | 0.006 | -0.019 | 0.004 | 0.074 | 1.000 | 0.000 | 0.000 | 0.000 | 0.037 | 0.080 | 0.081 | 0.000 | 0.031 | 0.000 | 0.056 | 0.000 | 0.065 | 0.002 | 0.051 | 0.046 |
| insured_education_level | 0.038 | 0.028 | 0.000 | 0.009 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.041 | 0.042 | 0.000 | 0.020 | 0.050 | -0.018 | 0.000 | 0.056 | 0.021 | 0.073 | -0.016 | 0.071 | 0.060 |
| insured_hobbies | 0.047 | 0.051 | 0.000 | 0.000 | 0.379 | 0.037 | 0.000 | 0.000 | 1.000 | 0.050 | 0.027 | 0.000 | 0.000 | 0.094 | -0.024 | 0.000 | -0.001 | 0.000 | 0.003 | -0.036 | -0.007 | 0.034 |
| insured_occupation | 0.000 | 0.037 | 0.038 | 0.094 | 0.068 | 0.033 | 0.000 | 0.041 | 0.050 | 1.000 | 0.054 | 0.000 | 0.000 | 0.000 | 0.028 | 0.081 | -0.002 | 0.000 | 0.010 | 0.020 | 0.003 | 0.031 |
| insured_relationship | 0.012 | 0.023 | 0.060 | 0.000 | 0.020 | 0.042 | 0.037 | 0.042 | 0.027 | 0.054 | 1.000 | 0.000 | 0.000 | 0.000 | 0.007 | 0.000 | 0.015 | 0.000 | 0.006 | 0.088 | -0.011 | 0.000 |
| insured_sex | 0.000 | 0.000 | 0.044 | 0.000 | 0.000 | 0.000 | 0.080 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.035 | 0.000 | -0.007 | 0.000 | -0.021 | 0.011 | -0.032 | 0.000 |
| number_of_vehicles_involved | 0.041 | 0.087 | 0.033 | 0.000 | 0.030 | 0.201 | 0.081 | 0.020 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | -0.044 | 0.048 | 0.222 | 0.000 | 0.210 | -0.025 | 0.201 | 0.000 |
| police_report_available | 0.000 | 0.035 | 0.047 | 0.000 | 0.000 | 0.033 | 0.000 | 0.050 | 0.094 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.015 | 0.000 | -0.014 | 0.026 | -0.012 | -0.053 | -0.004 | 0.000 |
| policy_annual_premium | 0.008 | -0.030 | -0.030 | 0.021 | -0.015 | -0.019 | 0.031 | -0.018 | -0.024 | 0.028 | 0.007 | 0.035 | -0.044 | 0.015 | 1.000 | 0.052 | -0.004 | 0.056 | -0.002 | -0.001 | 0.007 | 0.036 |
| policy_deductable | 0.000 | 0.000 | 0.000 | 0.018 | 0.000 | 0.053 | 0.000 | 0.000 | 0.000 | 0.081 | 0.000 | 0.000 | 0.048 | 0.000 | 0.052 | 1.000 | 0.057 | 0.000 | 0.020 | 0.002 | 0.004 | 0.043 |
| property_claim | -0.043 | 0.061 | -0.008 | 0.033 | 0.134 | 0.569 | 0.056 | 0.056 | -0.001 | -0.002 | 0.015 | -0.007 | 0.222 | -0.014 | -0.004 | 0.057 | 1.000 | 0.027 | 0.798 | -0.018 | 0.693 | 0.000 |
| property_damage | 0.000 | 0.000 | 0.000 | 0.017 | 0.078 | 0.000 | 0.000 | 0.021 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.026 | 0.056 | 0.000 | 0.027 | 1.000 | 0.053 | -0.061 | 0.047 | 0.000 |
| total_claim_amount | -0.063 | 0.042 | -0.033 | 0.059 | 0.139 | 0.792 | 0.065 | 0.073 | 0.003 | 0.010 | 0.006 | -0.021 | 0.210 | -0.012 | -0.002 | 0.020 | 0.798 | 0.053 | 1.000 | -0.041 | 0.965 | 0.000 |
| umbrella_limit | 0.006 | 0.031 | 0.012 | 0.042 | 0.060 | -0.047 | 0.002 | -0.016 | -0.036 | 0.020 | 0.088 | 0.011 | -0.025 | -0.053 | -0.001 | 0.002 | -0.018 | -0.061 | -0.041 | 1.000 | -0.038 | 0.000 |
| vehicle_claim | -0.066 | 0.030 | -0.041 | 0.058 | 0.143 | 0.684 | 0.051 | 0.071 | -0.007 | 0.003 | -0.011 | -0.032 | 0.201 | -0.004 | 0.007 | 0.004 | 0.693 | 0.047 | 0.965 | -0.038 | 1.000 | 0.000 |
| witnesses | 0.000 | 0.000 | 0.018 | 0.017 | 0.056 | 0.000 | 0.046 | 0.060 | 0.034 | 0.031 | 0.000 | 0.000 | 0.000 | 0.000 | 0.036 | 0.043 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| policy_annual_premium | policy_deductable | umbrella_limit | insured_age | insured_sex | insured_education_level | insured_occupation | insured_relationship | insured_hobbies | auto_make | auto_model | auto_year | number_of_vehicles_involved | bodily_injuries | witnesses | property_damage | police_report_available | fraud_reported | total_claim_amount | injury_claim | property_claim | vehicle_claim | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1406.91 | 1000 | 0 | 48 | MALE | MD | craft-repair | husband | sleeping | Saab | 92x | 2004 | 1 | 1 | 2 | YES | YES | Y | 71610.0 | 6510.0 | 13020.0 | 52080.0 |
| 1 | 1197.22 | 2000 | 5000000 | 42 | MALE | MD | machine-op-inspct | other-relative | reading | Mercedes | E400 | 2007 | 1 | 0 | 0 | ? | ? | Y | 5070.0 | 780.0 | 780.0 | 3510.0 |
| 2 | 1413.14 | 2000 | 5000000 | 29 | FEMALE | PhD | sales | own-child | board-games | Dodge | RAM | 2007 | 3 | 2 | 3 | NO | NO | N | 34650.0 | 7700.0 | 3850.0 | 23100.0 |
| 3 | 1415.74 | 2000 | 6000000 | 41 | FEMALE | PhD | armed-forces | unmarried | board-games | Chevrolet | Tahoe | 2014 | 1 | 1 | 2 | ? | NO | Y | 63400.0 | 6340.0 | 6340.0 | 50720.0 |
| 4 | 1583.91 | 1000 | 6000000 | 44 | MALE | Associate | sales | unmarried | board-games | Accura | RSX | 2009 | 1 | 0 | 1 | NO | NO | N | 6500.0 | 1300.0 | 650.0 | 4550.0 |
| 5 | 1351.10 | 1000 | 0 | 39 | FEMALE | PhD | tech-support | unmarried | bungie-jumping | Saab | 95 | 2003 | 3 | 0 | 2 | NO | NO | Y | 64100.0 | 6410.0 | 6410.0 | 51280.0 |
| 6 | 1333.35 | 1000 | 0 | 34 | MALE | PhD | prof-specialty | husband | board-games | Nissan | Pathfinder | 2012 | 3 | 0 | 0 | ? | ? | N | 78650.0 | 21450.0 | 7150.0 | 50050.0 |
| 7 | 1137.03 | 1000 | 0 | 37 | MALE | Associate | tech-support | unmarried | base-jumping | Audi | A5 | 2015 | 3 | 2 | 2 | ? | YES | N | 51590.0 | 9380.0 | 9380.0 | 32830.0 |
| 8 | 1442.99 | 500 | 0 | 33 | FEMALE | PhD | other-service | own-child | golf | Toyota | Camry | 2012 | 1 | 1 | 1 | NO | YES | N | 27700.0 | 2770.0 | 2770.0 | 22160.0 |
| 9 | 1315.68 | 500 | 0 | 42 | MALE | PhD | priv-house-serv | wife | camping | Saab | 92x | 1996 | 1 | 2 | 1 | NO | ? | N | 42300.0 | 4700.0 | 4700.0 | 32900.0 |
| policy_annual_premium | policy_deductable | umbrella_limit | insured_age | insured_sex | insured_education_level | insured_occupation | insured_relationship | insured_hobbies | auto_make | auto_model | auto_year | number_of_vehicles_involved | bodily_injuries | witnesses | property_damage | police_report_available | fraud_reported | total_claim_amount | injury_claim | property_claim | vehicle_claim | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 990 | 1564.43 | 500 | 3000000 | 43 | FEMALE | MD | prof-specialty | unmarried | movies | Jeep | Grand Cherokee | 2013 | 1 | 2 | 2 | ? | YES | N | 34290.0 | 3810.0 | 3810.0 | 26670.0 |
| 991 | 1280.88 | 1000 | 0 | 44 | MALE | MD | other-service | other-relative | basketball | Accura | TL | 2002 | 1 | 0 | 1 | NO | NO | N | 46980.0 | 0.0 | 5220.0 | 41760.0 |
| 992 | 722.66 | 500 | 0 | 26 | MALE | MD | exec-managerial | husband | camping | Nissan | Pathfinder | 2010 | 3 | 1 | 2 | YES | YES | N | 36700.0 | 3670.0 | 7340.0 | 25690.0 |
| 993 | 1235.14 | 1000 | 0 | 28 | MALE | MD | exec-managerial | husband | camping | Volkswagen | Passat | 2012 | 3 | 0 | 1 | ? | ? | N | 60200.0 | 6020.0 | 6020.0 | 48160.0 |
| 994 | 1347.04 | 1000 | 0 | 30 | MALE | High School | sales | own-child | bungie-jumping | Honda | Civic | 1996 | 1 | 1 | 2 | ? | YES | N | 6480.0 | 540.0 | 1080.0 | 4860.0 |
| 995 | 1310.80 | 1000 | 0 | 38 | FEMALE | Masters | craft-repair | unmarried | paintball | Honda | Accord | 2006 | 1 | 0 | 1 | YES | ? | N | 87200.0 | 17440.0 | 8720.0 | 61040.0 |
| 996 | 1436.79 | 1000 | 0 | 41 | FEMALE | PhD | prof-specialty | wife | sleeping | Volkswagen | Passat | 2015 | 1 | 2 | 3 | YES | ? | N | 108480.0 | 18080.0 | 18080.0 | 72320.0 |
| 997 | 1383.49 | 500 | 3000000 | 34 | FEMALE | Masters | armed-forces | other-relative | bungie-jumping | Suburu | Impreza | 1996 | 3 | 2 | 3 | ? | YES | N | 67500.0 | 7500.0 | 7500.0 | 52500.0 |
| 998 | 1356.92 | 2000 | 5000000 | 62 | MALE | Associate | handlers-cleaners | wife | base-jumping | Audi | A5 | 1998 | 1 | 0 | 1 | ? | YES | N | 46980.0 | 5220.0 | 5220.0 | 36540.0 |
| 999 | 766.19 | 1000 | 0 | 60 | FEMALE | Associate | sales | husband | kayaking | Mercedes | E400 | 2007 | 1 | 0 | 3 | ? | ? | N | 5060.0 | 460.0 | 920.0 | 3680.0 |